From Scratch: Sparse Mixture-of-Experts Router in PyTorch
This project implements a sparse mixture-of-experts router with learned gating and top-k expert selection, demonstrating practical deep learning systems skills.
This project implements a sparse mixture-of-experts router with learned gating and top-k expert selection, demonstrating practical deep learning systems skills.
This tutorial walks you through building a top‑k gated mixture-of-experts router in PyTorch, giving you a concrete portfolio piece that demonstrates model architecture, sparse routing, and system‑level scaling.
Learn how to implement a fully differentiable top‑k gating network in NumPy, enabling you to prototype mixture‑of‑experts layers and showcase a concrete, production‑ready side project on your CV.
A step‑by‑step guide to implementing a sparse Mixture‑of‑Experts gating layer in NumPy, demonstrating differentiable programming, load‑balancing, and production‑ready patterns for engineering roles.
A step‑by‑step guide to building a minimal Mixture‑of‑Experts router in pure Python, complete with runnable code, testing, and production‑level extension ideas.